By Andrzej Dziech, Andrzej Czyzewski
ISBN-10: 3319075683
ISBN-13: 9783319075686
ISBN-10: 3319075691
ISBN-13: 9783319075693
This quantity constitutes the refereed court cases of the seventh foreign convention on Multimedia Communications, prone and protection, MCSS 2014, held in Krakow, Poland, in June 2014. The 21 complete papers incorporated within the quantity have been chosen from quite a few submissions. The papers disguise ongoing learn actions within the following themes: audiovisual platforms, novel multimedia architectures, multimedia facts fusion, acquisition of multimedia content material, caliber of expertise administration, watermarking know-how and purposes, content material looking tools, interactive multimedia purposes, cybercrime countermeasures, cryptography, biometry, in addition to privateness defense solutions.
Read or Download Multimedia Communications, Services and Security: 7th International Conference, MCSS 2014, Krakow, Poland, June 11-12, 2014. Proceedings PDF
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Extra resources for Multimedia Communications, Services and Security: 7th International Conference, MCSS 2014, Krakow, Poland, June 11-12, 2014. Proceedings
Example text
OpenCV 2 Computer Vision Application Programming Cookbook. Packt Publishing (2011) 10. : Simple solution for public transport route number recognition based on visual information. In: 2013 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), pp. 32–38 (September 2013) 11. : Empirical analysis of detection cascades of boosted classifiers for rapid object detection. , Krell, G. ) DAGM 2003. LNCS, vol. 2781, pp. 297–304. Springer, Heidelberg (2003) 12. : Distinctive image features from scale-invariant keypoints.
These weak classifiers are decision-tree ones with at least two leaves. The previously mentioned Haar-like features [11] are a part of the analysis performed by the weak classifiers at every subsequent stage [15]. Training and Test Images. Our Haar classifier implementations have been trained using appropriate sets of relevant images. All training images used during our experiments have been collected in the field under various lighting conditions over a period of several months. According to the type of implementation, the training datasets contain different photos of fronts as well as sides of buses and trams.
1 OpenCV Graphics Library In the studies, an OpenCV (Open Source Computer Vision) library of image processing functions was used to solve the problem of locating and identifying public transport vehicles. In the case of Haar detectors, their different implementations have been trained with the opencv traincascade application [1]. Multithreading and multitasking are the main advantages of this application. They are offered due to the TBB (Intel Threading Building Blocks) [2] library that opencv traincascade includes.